Phenotypic Integrated Social Search Database and Method

ABSTRACT

The present invention provides methods, databases and devices for establishing the first integration of social behavior with biological phenotypic measurements. In one embodiment, a method for correlating data from a sample database and a survey database is provided. The method comprises obtaining a sample comprising biological molecules from an individual, simultaneously obtaining survey data from the individual, storing the survey data in the survey database, analyzing the sample of biological molecules to determine the composition of biological molecules, storing the data from the composition in the sample database, and correlating the data from the sample database to the data from the survey database.

The present invention provides methods, databases and devices forestablishing the first integration of social behavior with biologicalphenotypic measurements.

It is widely acknowledged that searching data is valuable for thesorting and correlation of information. With the abundance of dataavailable to search, methods to decrease the error rate of datasearching, and increase the efficiency and speed of data searching arehighly desirable. Useful results can depend on query inputs andcorrelations employed. Several groups have used user answers toquestions to correlate preferences for products and activities, andbeliefs (for example, Hunch: www.hunchcom), or behavior shopping as aguide to recommend future product purchases (Amazon). Other specializedprograms (“apps”) for devices include software that measure and comparedata to like users for future prediction, for example restaurant apps,where users rate restaurants and data is collected and used inprediction of future restaurant choices.

Methods of predicting consumer behavior have also been described. Forexample, U.S. Pat. No. 8,200,525 (incorporated herein by reference)describes a process and system for for predicting consumer behavior bycombining converted information from disparate databases.

The ability to predict future choices is highly desirable. For examplethe ability to predict future choices provides such benefits as allowingsellers to be able to locate highly targeted consumers during a purchasecycle. With the right information, merchants can achieve customized,targeted advertising and offer incentives to customers (discountcoupons). It is also widely recognized that consumers desire to identifyvia search exactly what they want quickly, easily and with mobiledevices. Making searches more efficient also engages and provides userswith significant added value. Traditionally, there are no quantitativephysical biological component inputs in any of these examples.

Several groups have, however, used genetic fragments such assingle-nucleotide polymorphism (SNPs or DNA sequence variation thatoccur when a single nucleotide—A, T, C or G—in the genome or othershared sequence differs between members of a biological species orpaired chromosomes in an individual) and online questionnaires tocorrelate health risks in individuals, as well as to determine genealogyof individuals (for example, 23 and Me, National Geographic andWorldFamilies.net). Further, many companies use genetic information todiagnose disease, including mental conditions.

Examples of measurement of biological components to diagnose medicalconditions include tests such as the widely available pregnancy testsand other over the counter assays available to consumers and medicallaboratories; yet these examples do not specifically describe or predictbehavior, a feature that is desirable for merchants and consumers.

The present invention provides a novel method of integrating socialsearch with biological phenotype, and a database of such information foruse by merchants, consumers and others. In the methods and databases ofthe present invention, correlation is made between phenotypes(biological phenotypes and behavioral or emotional phenotypes), versusthe traditional approach of correlating genotype to phenotype orgenotype to genotype.

Databases are collections of data, and can be stored in on or moredevices configured to process data, such as a computer.

The term phenotype, as used hereunder, includes traits orcharacteristics that can be made visible by some technical procedure,and can include behavior as an observable characteristic. Phenotypes areconstrained by quantifiable genetic, developmental and environmentalvariables, which can be measured as biomolecular states, such as genomesequence, epigenomic modifications, RNA and microRNA levels, proteinlevels, protein folding and modifications, metabolite levels andelectrical signals. A phenotype is the composite of an organism'sobservable characteristics or traits: such as its morphology,development, biochemical or physiological properties, phenology,behavior, and products of behavior (such as a bird's nest). Phenotypesresult from the expression of an organism's genes as well as theinfluence of environmental factors and the interactions between the two.In the methods of the present invention, biomolecular states aremeasured using genetic, developmental and/or environmental or othervariables, such as those described herein.

The specific state of the proteome (the entire set of proteins expressedby a genome, cell, tissue or organism) in a given cell, tissue, ororganism is known as the proteotype. The proteotype is the proteomicstate that uniquely underlies a phenotype. Proteotyping mines thepotential genetic information of a gene at the protein level byvisualizing unique amino acid signatures; many protein forms resultingfrom a single gene are visualized. The proteotype integrates constraintsimposed by the genotype, the environment, and by developmental history(i.e., a skin cell has a different proteotype than a heart cell with thesame genotype in the same environment). The proteotype can directlydetermine phenotype since all molecules are made by and regulated byproteins. Thus, the proteotype can be used to directly infer genotypecontributions to phenotype (because peptides map to DNA), and enables asynthetic reconstruction of phenotype (changes in protein levels or inpost-translational modifications can be engineered). A completedescription of the proteotype can define a phenotype at the molecularlevel.

It is recognized that activities and actions of an organism are affectedby proteins. Proteins can be measured to demonstrate the biomolecularstate of an individual. The large-scale study of proteins, “proteomics”,is currently used to diagnose disease and to determine if a gene isexpressed in a sample. In the past, more deficient methods were employedto determine protein related activities, for example nucleic acid (RNA)levels were measured. Proteomics can be more accurate for certainstudies concerning protein related activity than determining, forexample, RNA levels, since transcription rates, RNA half-life, proteinhalf-life, protein distribution all impact whether a protein isavailable at a sufficient level to allow a protein related activity tooccur. While nucleic acid contributes to protein levels by encoding aprotein and thereby allowing a protein to be expressed, whether aprotein is actually present and in sufficient quantity is determine by amyriad of factors. Thus, measuring proteins is an optimal way todecrease error and reduce misinterpretation of correlations. In anembodiment of the present invention, proteomics and/or proteotyping isutilized to measure the biomolecular state of an individual, orbiological phenotype of an individual. Methods of purifying proteinsfrom samples, and measuring proteins, including high throughput analysisof proteomes (for example, by mass spectrometry), are widely used andknown in the art. Such methods are useful in the methods of the presentinvention.

It is further recognized that other biological molecules, such aspeptides, metabolites, hormones and small molecules, affect and/orindicate activities and behavior of an organism. For example, the femalereproductive hormone oxytocin has been correlated to generous and caringbehavior. Quantitative physical biological component inputs of thepresent invention can include measurement or description of DNA type,RNA levels, microRNA types or levels, protein levels, proteotype,metabolic levels or even qualitative or quantitative MRI. In anotherembodiment of the present invention, measurement of biologicalmolecules, such as peptides, hormones and/or small molecules, or anycombination thereof, is performed to measure the biomolecular state ofan individual.

In the methods of the present invention, biological molecules, such asproteins, are identified that are markers for emotional or behavioralstates of individuals. Emotional states include, but are not limited to,basic emotions such as feeling tenderness, or being excited, happy, sad,angry or scared. After and during collection of data, including dataabout the presence or absence of the biological molecule(s) and datafrom the behavioral or emotional state of the individual, the data isintegrated and analyzed. Data that is determined to correlate thephenotypes (for example, bias data) is retained and data not correlatingphenotypes is eliminated. The data is stored, and a database is created.Collection of data can continue, and best correlations can be rankordered with the best data retained and the lowest correlationsoptionally eliminated over time. The methods reveal an empiricalcorrelation of biological molecules, or state, to a behavioral oremotional state.

The term “sample” as used herein means bodily fluid or cells, includingbut not limited to saliva, sweat, blood, tears, mucus, urine, stool,mouth cell scrapings, stool, hair follicle, fingernails or other bodilycells. Samples can be collected by an individual breathing onto asurface, scraping a check, spitting into a tube, urinating into a ononto a container or surface, or providing a liquid sample in any othermethod whereby the sample can be collected for analysis, for exampleusing a device. It is contemplated that computer chips can be utilizedto directly analyze, or present samples to a device (for example, acomputer) that will analyze the sample. For example, nanotechnology hasbeen used to create devices for testing disease states. Body gases havebeen measured on a devise using carbon nanotube sensor technology todiagnose disease. For example, nucleic acids are immobilized on adetection chip, individuals expose chips to body gas(es), nucleic acidsbind variably to nucleic acid sequences on the chip resulting in uniquepatterns after detection, and the presence or absence of gas iscorrelated to disease. Proteins have also been coupled with carbonnanotube transistors, and the resulting devices transduce signalsassociated with protein binding events, providing a general method forthe study of protein function using electronic readout in a nanotubeformat. These represent examples of methods to collect and analyzesamples in the methods of the present invention.

The term “assay”, as used herein, is a measurement to quantify orqualify a component of a sample, preferably a protein, peptide, hormone,or other biological molecule. In the method of the present invention,one or more proteins and/or the entire proteome of cells in a samplefrom an individual is assayed. It is contemplated that an individual candeliver a sample, or the data from the assay of a sample to a locationwhere it can be used in a correlation. Initially, one or more proteins,anchor the entire proteomc will be assayed. In a preferred embodiment,one protein is assayed, for example a hormone, for example adrenaline.In another embodiment, 5 proteins are assayed. In another embodiment 10proteins are assayed. In another embodiment, 50 proteins are assayed. Inanother embodiment 100 proteins are assayed. In another embodiment, 500proteins are assayed, in another embodiment 1000 proteins are assayed.In another embodiment, 2000 proteins are assayed. In another embodiment2500 proteins are assayed. In another embodiment, 3000 proteins areassayed. Proteins that are always present or always absent arepredictive of future behavior since their presence or absence correlateswith the response to query, as set forth herein. Further, proteins thatare induced upon a response further, allow genetic association, whichallows DNA to be predictive (however, it is recognized that the genethat encodes the protein is not necessarily the gene inducing theparticular protein level shift).

In one aspect of the present invention, after proteins are measured in asample, genes encoding such proteins can be determined. It is thenpossible to use a surrogate nucleic acid (such as DNA or RNA) assay tomeasure the biomolecular state of the individual. The reverse process ofmeasuring proteins first, followed by use of nucleic acid as a surrogatefor determination of a biomolecular state of an individual, has not beenpursued at scale. One reason may be the belief that nucleic acidmeasurement is optimal for determining the biomolecular state of anindividual, and another reason may be the higher cost of protein assaysversus nucleic acid assays. Thus, in another embodiment of the presentinvention, proteins are first measured, followed by determination ofcorresponding DNA or RNA molecules, and such nucleic acid molecules arethen assayed to measure the biomolecular state of an individual.

In another embodiment of the present invention, physiological states aremeasured for correlation, such as heart rate, galvanic response, bodytemperature, pupil dilation or other physiological characteristics.

Measured biomolecular states are then correlated with behavioral statesof individuals, for example social behavior, to yield database(s) (oneor more collection(s) of related data organized for convenient access,preferably in a computer) of information about individuals that areuseful for a variety of purposes, including use by merchants in theprediction of buying behavior or to provide new information to usersabout their existing; and potential future preferences.

In one aspect of the present invention, along with the biomolecularstate of individuals, the behavioral states of individuals are measuredwith queries to establish and evolve a database of information.Individuals, or individuals knowledgeable about another individualsbehavior, will complete a behavioral questionnaire or series ofquestions designed to indicate or evaluate feeling, behavior,preferences, mood, sensation, senses, or other physical, biological,emotional, psychological, or mental states. For example, questions canbe “Do you like riding motorcycles?”, “Do you get nauseated on rollercoasters?”, “Are you married?”, “Are you happy?”, “Are you arepublican?”, “which texture do you prefer (show a picture)?”, “do youprefer a hot climate or a cool climate?”, “do you prefer the color redor the color yellow?”, “Do you like to drive fast?” and/or other suchquestions whereby answers indicate individual preferences, feelings,behavior or other state. Information can be gathered about likes anddislikes in the form of visual presentations as well. For example,pictures can be shown to individuals and comments given by theindividual regarding opinion, such as “I see it and I like it”, “I seeit and I don't like it, “I haven't seen it, but I will like it, “Ihaven't seen it, but I won't like it”. Thus a phenotype is establishedside-by-side with the behavioral state of an individual; suchinformation allows the correlation of a phenotype with a behavioralstate, facilitating the ability to predict future behavior when aphenotype is present. The larger the database, the more desirable, sincethe more information linking phenotype to behavior creates more accuracyin the prediction.

Thus, in the method of the present invention answers from the behavioralquestionnaire, or series of behavior questions, are then correlated withthe phenotype results from the assay. Proteomic analysis can beperformed on a number of individuals emotional states, e.g. perhaps 5,10, 20 25 or 100 people per emotional state, initially to establish thedatabase. Data is collected, and a database is generated whichcorrelates phenotype results from the assay with behavior from theanswers to the questions. Over time, the database can be modified toeliminate behavioral data not correlated with phenotype. Data can becontinually collected, and the database evolved. Behavior to phenotypematches can be ranked, and ranking can modify or evolve, over time asnew information is input into the database. It is contemplated that newbehavior information and phenotype information can be continuallyintegrated into the database.

Many examples of data collection and storage for analysis exist. Forexample, HLA typing databases collect and store for information purposesinformation about the HLA type of individuals.

In the method of the present invention, decision making and data searchresults are linked to a user biological phenotype to yield informationand patterns that are useful in a variety of applications. Thisbiological integration into data search can contribute to lowering thehigh error rate of search efficiency and speed. The marker used tomeasure the biomolecular state of the individual, such as proteins, thatare always present or always absent can be predictive of future behaviorsince their presence or absence will be correlated with the responses toquestions.

In one method of the present invention, phenotypic assessment isfundamental for correlation to behavior in order to derive a valid“emotype”, or a temporal biologic condition or state correlated withbehavior and feeling, that allows assessment and prediction of currentand future behavior.

Thus, the present invention represents a method for correlating datafrom a sample database and a survey database comprising: obtaining asample comprising biological molecules from an individual,simultaneously obtaining survey data from the individual; storing thesurvey data in a survey database; analyzing the sample of biologicalmolecules to determine the composition of biological molecules; storingthe data from the composition in a sample database; correlating the datafrom the sample database to the data from the survey database. Inanother embodiment, the present invention is a method for predictingconsumer behavior comprising: using a processing device; obtaining asample comprising biological molecules from a consumer; simultaneouslyobtaining survey data from the consumer; storing the survey data in asurvey database; analyzing the sample of biological molecules todetermine the composition of biological molecules; storing the data fromthe composition in a sample database; correlating the data from thesample database to the data from the survey database; using thecorrelated data to predict consumer behavior using the processingdevice. In yet another embodiment, the present invention is a method forpredicting an individual's behavior or preferences, the methodcomprising: obtaining a sample comprising biological molecules from anindividual, simultaneously obtaining survey data from the individual;storing the survey data in a survey database; analyzing the sample ofbiological molecules to determine the composition of biologicalmolecules; storing the data from the composition in a sample database;correlating the data from the sample database to the data from thesurvey database; predicting behavior or preference based on thecorrelation between the biological data in the sample database and thesurvey data in the survey database. In yet another embodiment, thepresent invention is a method for predicting an individual's behavior orpreferences, the method comprising: obtaining a sample comprisingbiological molecules from an individual; analyzing the sample ofbiological molecules to determine the composition of biologicalmolecules; correlating the data from the sample to the data from asurvey database; predicting behavior or preference based on thecorrelation between the biological data in the sample and the surveydata in the survey database. In another embodiment, the presentinvention is a method for correlating data from a previously generatedsample database and a previously generated survey database comprising:correlating data from the sample database to the data from the surveydatabase. In another embodiment, the present invention is a method forcorrelating data from a sample database and a survey databasecomprising: obtaining a sample comprising biological molecules from anindividual, analyzing the sample of biological molecules to determinethe composition of biological molecules; correlating the data from thesample database to the data from a survey database. In anotherembodiment, the present invention is a method for predicting one or moreindividual's behavior or preferences, the method comprising: obtainingsamples comprising biological molecules from one or more individuals;analyzing the samples of biological molecules to determine thecomposition of biological molecules; storing the data from thecomposition in a sample database; correlating the data from the sampledatabase to the data from a survey database; predicting behavior orpreference based on the correlation between the biological data in thesample database and the survey data in the survey database.

Individuals include consumers in the methods of the present invention.Databases include information from a plurality of individuals.

The methods of the present invention are useful in the severalapplications where demonstration or prediction of the affinity ofindividuals for anything (for example people, electronic gadgets, music,food, fashion, games, hooks, and consumables, and the like) is useful.For example dating services, the pet services and supply industry (petsbiomolecular state can be measured and owners, for example, can provideinformation about behavior states), the political system (to provideinformation about voting choices), the travel industry (marketing forvacation locations) will find the information provided by the databasecorrelating biomolecular states with individuals behavior (for example,choices).

The following references are incorporated entirely herein by reference:

De Ruiter, J. R. (2004) ‘Genetic markers in primate studies: elucidatingbehaviour and its evolution.’, International journal of primatology., 25(5). pp. 1173-1189.

Publication entitled: Opportunities in Neuroscience for Future ArmyApplications (2009) Board on Army Science and Technology (BAST),Committee on Opportunites in Neuroscience for Future Army Applications;Division on Engineering and Physical Sciences; NATIONAL RESEARCH COUNCILOF THE NATIONAL ACADEMIES, THE NATIONAL ACADEMIES PRESS, Washington,D.C.—www.nap.edu

Goldsmith et al., Vol. 5' No. 7' 5408-5416' 2011, ACS Nano; Publishedonline Jun. 22, 2011.

Samuel M. Khamis, et al., Homo-DNA Functionalized Carbon NanotubeChemical Sensors, Journal of Physics and Chemistry of Solids 71 (2010)476-479.

S. M. Khamis, et al., DNA-decorated carbon nanotube-based FETs asultrasensitive chemical sensors: Discrimination of homologues,structural isomers, and optical isomers, AIP Advances 2, 022110 (2012);doi: 10.1063/1.4705394.

Yian-Biao Zhang, et al., Functionalized Carbon Nanotubes for DetectingViral Proteins, Nano Letters, 2007 Vol. 7, No. 10 3086-3091

Without further elaboration, it is believed that one skilled in the artcan, using the preceding description, utilize the present invention toits fullest extent.

1-37. (canceled)
 38. A method for predicting an individual's behavior orpreferences with correlated data consisting of composition data from asample database and survey data from a survey database, said surveydatabase contains a plurality of sets of survey data from a plurality ofindividuals, said sample database contains composition data from samplesof biological molecules which include protein obtained from saidplurality of individuals, and said from the survey database to providebehavior to phenotype matches, the method comprising: an individualobtaining a sample comprising biological molecules including proteinfrom himself/herself, and analyzing the biological molecules includingprotein in the sample with a device to generate composition data of theindividual; correlating the individual's composition data to survey datafrom said survey database to generate a correlation between theindividual's composition data and the survey data from said surveydatabase; and predicting behavior or preference of the individual basedon the correlation between the composition data and the survey data inthe survey database. 39-42. (canceled)
 43. The method of claim 38,wherein the samples are selected from the group consisting of urine,stool, blood, the individual's breath, human cells, hair, fingernails,saliva, mucus, and tears, and the survey data comprises answers to oneor more questions about each of the plurality of individuals' behavior,preferences, mood, senses, sensation, mental state, psychological state,physical state, or emotional state.
 44. The method of claim 43, whereinthe biological molecules further comprise at least one of a smallmolecule, a metabolite, a peptide, a hormone, and a nucleic acid. 45.The method of claim 38, wherein the sample is urine and more than one upto and including 3000 types of proteins are assayed.
 46. The method ofclaim 38, wherein the sample is urine and 5 to 3000 types of proteinsare assayed.
 47. The method of claim 38, wherein the survey dataincludes data from at least on physiological measurement selected fromthe group consisting of heart rate, galvanic response, body temperature,and pupil dilation.
 48. The method of claim 38, wherein the survey datacomprises behavioral states measured with queries.
 49. The method ofclaim 48, wherein the survey data and composition data are continuallycollected and integrated into the database, and the database evolves andthe behavior to phenotype matches are ranked, and the ranking ismodified over time as new information is input into the database. 50.The method of claim 38, wherein the device comprises a detection chiphaving nucleic acids immobilized thereon.
 51. The method of claim 50,wherein the analyzing step comprises the individual exposing thedetection chip to a body gas.
 52. The method of claim 38, wherein thedevice comprises a carbon nanotube transistor.
 53. The method of claim52, wherein the carbon nanotube device produces one or more signalsassociated with protein binding events.
 54. The method of claim 38,wherein one or more proteins of said protein the sample are assayed todetermine a presence of the protein in the sample.
 55. The method ofclaim 54, wherein the one or more proteins are assayed to quantify theone or more proteins in the sample.
 56. The method of claim 54, furthercomprising a step of determining DNA or RNA molecules corresponding tosaid one or more proteins and assaying said determined DNA or RNAmolecules to provide the individual's composition data.
 57. The methodof claim 38, further comprising a step of modifying or evolving saidbehavior to phenotype matches over time as new information is input intothe survey and/or composition databases.
 58. The method of claim 57,further comprising a step of eliminating behavioral data from saidsurvey database that is not correlated with a phenotype.